@article {172,
title = {Auditory Perspective Taking},
journal = {IEEE Transactions on Systems, Man and Cybernetics Part A: Systems and Humans},
year = {2012},
month = {2012},
abstract = {Effective communication with a mobile robot using
speech is a difficult problem even when you can control the auditory
scene. Robot self-noise or ego noise, echoes and reverberation,
and human interference are all common sources of decreased
intelligibility. Moreover, in real-world settings, these problems are
routinely aggravated by a variety of sources of background noise.
Military scenarios can be punctuated by high decibel noise from
materiel and weaponry that would easily overwhelm a robot{\textquoteright}s
normal speaking volume. Moreover, in nonmilitary settings, fans,
computers, alarms, and transportation noise can cause enough
interference to make a traditional speech interface unusable. This
work presents and evaluates a prototype robotic interface that uses
perspective taking to estimate the effectiveness of its own speech
presentation and takes steps to improve intelligibility for human
listeners.},
keywords = {Acoustic propagation, auditory displays, human{\textendash}robot interaction, robot sensing systems},
author = {Eric Martinson and Derek P Brock}
}